74 citations
- Politecnico di TorinoIT52 papers
- Brown UniversityUS2 papers
- Heinrich Heine University DüsseldorfDE2 papers
- Huaqiao UniversityCN2 papers
- Institute of PhysicsPL2 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT2 papers
- Kazan Federal UniversityRU2 papers
- National University of UzbekistanUZ2 papers
- Osaka City UniversityJP2 papers
- Tohoku UniversityJP2 papers
- University of Milano-BicoccaIT2 papers
- Arturo Prat UniversityCL1 paper
16 papers · 1 filter
Analysis of the Coherent Contributions to Nonlinear Interference Generation within Disaggregated Optical Line Systems
Elliot London, Emanuele Virgillito, Andrea D'Amico +2
Through a physical layer simulation study we highlight that the coherent accumulation of nonlinear interference becomes non-negligible for optical networks operating within high sy…
Online Tutoring in Introductory Physics Courses: a Lockdown Experience
Matteo Luca Ruggiero, Lorenzo Galante
Social distancing due to the Covid-19 pandemic deeply impacted on education worldwide, since schools and universities had to rapidly organise lessons and courses on line. Tradition…
Quantum weak invariants: Dynamical evolution of fluctuations and correlations
Zeyi Shi, Sumiyoshi Abe
Weak invariants are time-dependent observables with conserved expectation values. Their fluctuations, however, do not remain constant in time. On the assumption that time evolution…
Equilibrium analysis of an immersed rigid leaflet by the virtual element method
L. Beirão da Veiga, C. Canuto, R. H. Nochetto +1
We study, both theoretically and numerically, the equilibrium of a hinged rigid leaflet with an attached rotational spring, immersed in a stationary incompressible fluid within a r…
Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation
Yanqi Liu, Giuseppe Calderoni, R. Iris Bahar
Algorithms based on Monte-Carlo sampling have been widely adapted in robotics and other areas of engineering due to their performance robustness. However, these sampling-based appr…
Modeling Generalization in Machine Learning: A Methodological and Computational Study
Pietro Barbiero, Giovanni Squillero, Alberto Tonda
As machine learning becomes more and more available to the general public, theoretical questions are turning into pressing practical issues. Possibly, one of the most relevant conc…